AI-Driven Technical Product Manager

Verra Mobility Corporation; Greater Shepparton; Hybrid; AUD 110,000 - 160,000; Full time

Job summary

Verra Mobility is a global road safety technology company seeking a technically literate Technical Product Manager. This permanent, full-time hybrid role blends work from home with our South Melbourne head office, guiding AI-enabled product delivery across road safety programs.

You will translate customer and technical needs into PRDs, backlog items and decision records, collaborate with engineering teams on architecture, security and delivery, and shape AI-enabled workflows to improve

Qualifications

• Minimum 5+ years in technical product management, product ownership or related delivery role.
• Strong technical literacy across architecture diagrams, API specs and vendor proposals.
• Ability to work with engineering teams on software, data, integration, security and delivery decisions.

Responsibilities

• Own product outcomes across one or more customer-facing programs.
• Translate needs into PRDs, backlog items and decision records.
• Use AI-enabled workflows for requirement synthesis and documentation.
• Collaborate with engineering on architecture, security and delivery decisions.
• Maintain visibility across scope, risks and dependencies.
• Prepare executive, customer-facing and technical documentation.

Skills

Technical product management

Technical literacy

AI workflows

Cross-functional collaboration

Customer-facing communication

Documentation

Decision making under risk

Education

Bachelor's degree in product/tech/business/systems/data or related

Tools

Atlas Cloud

Claude Code

Power Automate

Chrome MCP

Jira

Confluence

Microsoft 365

Job description

Verra Mobility is a global road safety technology company seeking a technically literate Technical Product Manager. This permanent, full-time hybrid role blends work from home with our South Melbourne head office, guiding AI-enabled product delivery across road safety programs.

You will translate customer and technical needs into PRDs, backlog items and decision records, collaborate with engineering teams on architecture, security and delivery, and shape AI-enabled workflows to improve